Jobs at Djinni

Requirements:

• 3+ years of hands-on experience in manual software testing
• 1+ years of experience in mobile application testing
• Strong background in Manual Testing with proven real-world experience
• Strong attention to detail with a structured, analytical mindset

• Good communication skills and ability to work closely with developers

   

Languages:

Upper-Intermediate (B2) or higher level of English, both written and spoken

Would be a plus:

Experience in healthcare domain

About project:

This is a product company revolutionizing the Health Care industry in the US by providing innovative solutions to improve medical services. The project helps patients centralize all aspects of their treatment, ensuring timely recommendations and engagement that lead to better health outcomes. Additionally, Navierre supports healthcare providers by offering technologies and services that streamline and enhance the care delivery model, enabling superior treatment results.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We are looking for a Support Engineer with hands-on AWS and Linux experience, strong troubleshooting skills, and the ability to monitor, support, and optimize customer environments in a 24/7 setting.

📍 Work location - Ukraine

Responsibilities

• Respond to incidents according to playbooks 
• Provide customer support in rotating 8-hour shifts to ensure 24/7 coverage
• Monitor and troubleshoot network, infrastructure, and application issues
• Analyze metrics, alerts, and incidents to fine-tune algorithms and thresholds
• Maintain and document monitoring solutions

• Contribute to infrastructure automation and internal Support tools development

  

Requirements

• At least 1 year of experience in a similar position such as NOC/Tech Support engineer or Junior DevOps
• Hands-on AWS cloud experience 
• Confident Linux OS knowledge
• Network troubleshooting and configuration
• GIT and scripting skills with either Python or Bash
• Web applications architecture understanding 
• Monitoring tools (Prometheus, Cloudwatch, etc.) and principles 
• Upper-intermediate English language proficiency
• Great customer service and confident business communication skills
• Strong troubleshooting and problem-solving skills, drive to prevent incidents
• Be innovative, learn new tools and best practices
• IaaC: CloudFormation, Terraform knowledge - advantage
• CI/CD: Jenkins, ArgoCD - advantage

• Containers orchestration: Docker, Kubernetes (EKS, GKE) - advantage

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• Wellbeing and professional coaching
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI solutions that drive real results. We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a hands-on Data Science Team Lead to build and scale production AI/ML solutions on AWS while leading a Data Scientist team. You’ll own the full lifecycle —from discovery and proof-of-concepts to training, optimization, deployment, and iteration in production — partnering closely with customers and cross-functional teams.

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• People leadership: Manage and coach a team of Data Scientists, set clear goals, run 1:1s, and support career growth and technical excellence.
• Delivery ownership: Drive project scoping, planning, and on-time, high-quality delivery from inception to production. Proactively remove blockers, manage risks, and communicate status to stakeholders.
• Customer engagement: Work directly with founders/technical leaders to understand goals, translate them into feasible AI roadmaps, and ensure measurable business outcomes.
• Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
• Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
• Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
• LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
• Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.

• Collaboration: Work closely with other teams (Data Engineering, DevOps, MLOps, Solution Architects, Sales teams) to integrate models into production pipelines and workflows.

   

Requirements

• Team management experience: 2+ years leading engineers or scientists (people or tech lead).
• Technical experience: 5–6+ years in Data Science/ML (including deep learning/LLMs).
• Excellent customer-facing skills to understand and address client needs effectively.
• Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
• Proven experience with generative AI and fine-tuning large language models.
• Experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
• Fluent written and verbal communication skills in English.

• A master’s degree in a relevant field and AWS ML certifications are a plus.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

At Automat-it, we help companies take control of their cloud costs, and we’re looking for a Cloud Solution Analyst who will join our FinOps team. This is an opportunity to step into one of the most in-demand areas of cloud technology and work with innovative customers, helping them make smart decisions about their cloud usage. Your first month will be dedicated to learning the basics (including AWS Practitioner certification), and you’ll gradually take on more responsibility by managing customers and taking care of their complex projects from the FinOps side.

📍 Work location - remote from Lviv 

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Guide our customers through AWS billing and usage data, helping them understand key insights and trends.
• Partner with customers to review their cloud consumption and highlight cost optimization opportunities.
• Use external and internal tools to guide customers, set budgets, monitor usage patterns, and detect spending anomalies.
• Turn cloud usage data into clear, actionable recommendations and follow up on the impact of those changes.
• Create and present easy-to-understand reports and dashboards

• Support the smooth onboarding of new customers into Automat-it’s FinOps services.

   

Requirements

• Customer-oriented and excellent communication skills
• Ability to learn AWS cloud architecture and services
• Fluent in written and verbal communication skills in English
• Excellent organizational and task management skills
• Comfortable working with spreadsheets, reporting, and task management systems
• Ability to work with data, spot trends, and draw practical conclusions
• Ability to translate reports into simple insights and actionable recommendations
• A degree in a relevant field, such as Computer Science, Engineering, Math, Finance, or Big Data - an advantage

• Understanding of cloud platforms (especially AWS) and basic architecture concepts - an advantage

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

About The Position

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Developing backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered services
• Taking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorch
• Developing and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimization
• Provision of ML AWS resources and infrastructure primarily using managed and cloud-native services
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production and ensuring they are observable and monitorable
• Collaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructure
• Learning new skills and technologies quickly to stay up to date with rapidly evolving GenAI tools
• Using and writing Terraform libraries for infrastructure deployment
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements

• Excellent customer-facing skills to understand and address client needs effectively
• Ability to design and implement cloud solutions and to build GenAI pipelines on AWS
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorch
• Ability to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demos
• Good understanding of supervised and unsupervised learning, and deep learning concepts
• Fluent written and verbal communication skills in English
• Ability to work hands-on, independently, and deliver under real project constraints
• Bachelor’s or Master’s degree in AI-related fields - an advantage
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Experience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads - an advantage
• ML certification (AWS ML Specialty or similar) - an advantage

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

About Project:

An application that brings AI into highly specialized professional fields, enabling them to benefit from the latest cutting-edge advancements.

We are currently looking for a talented Junior QA Engineer for our team.

Requirements:
●  0,5 years experience as QA engineer;
●  Experience in software testing (web, mobile);
● Have practical experience testing API using Postman;
● Basic knowledge of HTML, CSS, JavaScript, SQL will be a plus;
●  Good knowledge of browser dev tools;
●  Good knowledge of testing types and test design techniques;
●  Experience developing and maintaining test documentation;
●  Understanding of Agile approach (Scrum, Kanban frameworks);
●  English level: Upper-Intermediate.

Will be a plus:
● Create and maintain test documentation.

Responsibilities:
●  Creating and executing of Test-cases, preparing and work with Test Documentation;
●  Testing web and mobile applications;
●  Executing manual tests;
●  Work with issue tracking tools (Jira).

Location:

Ukraine: remote.

We offer:

• The ability to focus on your work: a lack of bureaucracy and micromanagement;
• Competitive compensation depending on skills and experience level;
• Ability to learn new technological stacks, which help you to grow professionally and advance your career;
• Friendly atmosphere, concern for the comfort of specialists;
• English lessons;
• Flexible schedule depends on project’s needs;
• 15 working days of vacation;
• 12 working days per year are allowed to be “no show days” due to personal reasons.

Inception-1 is a fast-growing product company building AI-driven products that help people feel more connected and less alone. Our mission is to create meaningful digital experiences that blend technology with empathy — and to prove that AI can be both human and transformative.
We partner with leading infrastructure providers and move fast, experimenting, iterating, and scaling what works. Everything we build goes straight to production and real users.

We’re looking for a Creative Marketing Manager / Creative Producer to own creative strategy and drive growth through high-performing creatives across paid acquisition channels. You’ll work closely with UA managers and creative teams to build scalable creative systems for Tier-1 markets.

Responsibilities

• Own creative strategy across paid channels (Meta, TikTok, Snapchat, Google)
• Build and run a creative testing framework (hypotheses → iterations → scaling)
• Manage and coordinate designers, copywriters, and translators
• Analyze creative performance and generate data-driven insights
• Launch and scale creatives for US and Tier-1 markets
• Collaborate with UA managers by funnel stage and channel
• Improve creative win-rate and reduce creative fatigue
• Help build a scalable Creative Factory process

Hard skills we value
 

• 2+ years in performance creative / growth / UA (Mid–Senior)
• Strong understanding of CTR, CPA, CVR, ROAS, retention
• Experience with paid social platforms (Meta, TikTok, Snapchat, Google)
• Creative testing & performance analysis experience
• Data-driven mindset and hypothesis generation
• Hands-on with Google Sheets / Excel
• Understanding of the full funnel (creative → LP / quiz → product → monetization)

Nice-to-have
 

• Experience with Tableau / Looker / Amplitude
• Using AI tools for creative ideation or production
• Web-to-app or web-to-web funnel experience
• US-market creatives experience
• Background in subscription, dating, or social discovery products
• Basic knowledge of A/B testing and CRO

What we offer
 

• Remote work or comfortable offices in Kyiv (Podil)
• Flexible working hours
• Medical insurance (after probation) and online doctor services
• 20 paid vacation days, unlimited sick leave
• Equipment, learning budget, internal lectures
• Sports activities and gym discounts

We are looking for a motivated and enthusiastic Media Buyer Specialist on behalf of our client. If you have strong experience in eCommerce, native ads, push ads, and generic-product campaigns, excellent analytical skills, and a proven track record across multiple verticals — this role is for you.

What You Will Be Working On

• Planning and executing high-performing media buying campaigns for eCommerce and generic product offers

• Running and optimizing native and push ad campaigns

• Identifying the best traffic sources and channels to achieve performance goals

• Working with top converting offers and diverse geos

• Platforms: PropellerAds, AdMaven, PopAds (training provided if needed)

• Models: CPC & CPA

• Geo: Worldwide

Responsibilities

• Tracking and analyzing campaign performance

• Making data-driven decisions to optimize and scale campaigns

• Reporting results and insights to internal stakeholders

• Continuously testing creatives, audiences, and funnels to improve ROI

To Be Successful, You Need

• 2+ years of experience in media buying/data analytics

• Hands-on experience in eCommerce, native ads, push ads, and generic product campaigns

• Familiarity with various verticals and traffic types

• Strong analytical, data-driven, and performance-oriented mindset

• Understanding of media buying across PPC, DSPs, and display networks

• Expert-level proficiency in English

• Familiarity with Voluum or similar tracking platforms is a plus

• Strong multi-tasking and prioritization skills

• Desire to grow and develop within digital marketing

• Positive attitude and willingness to share knowledge

• Basic understanding of broader online marketing concepts (PPC, SEO, email marketing, etc.)

Benefits

• Significant growth opportunities

• Knowledgeable, experienced, and fun team

• International and diverse work atmosphere

• Be part of a rapidly growing global company

• Paid vacation and sick leave

• Competitive base salary + performance bonus system

We look forward to your application!

We are looking for a motivated and proactive Facebook Ads Specialist on behalf of our client. If you have hands-on experience in user acquisition for gaming products, a data-driven mindset, and the ability to independently create ad creatives using AI tools — this opportunity is a great match for you.

What You Will Be Working On

• Planning, launching, and optimizing high-performing Facebook campaigns for gaming products
• Managing full-funnel user-acquisition strategies across multiple markets
• Independently handling budgeting, bidding, scaling, and daily optimization
• Creating and iterating ad creatives using AI tools (images, videos, copy)
• Rapidly testing multiple creative concepts to identify top performers
• Building and refining audience segments using interest, behavior, and lookalike modeling
• Analyzing market trends, competitor angles, and user insights to improve performance

Responsibilities

• Tracking and analyzing campaign performance (ROAS, CTR, CVR, retention, monetization events)
• Making data-driven decisions to optimize and scale campaigns
• Continuously testing new creatives, audiences, and funnels
• Producing clear performance reports and actionable insights for ongoing improvements
• Managing budgets efficiently and identifying scaling opportunities

To Be Successful, You Need

• 1+ years of experience running Facebook Ads (gaming experience is a strong advantage)
• Ability to independently create ad creatives using AI tools (no design team support)
• Strong analytical and data-driven mindset
• Experience managing campaigns end-to-end
• Familiarity with mobile attribution and analytics tools is a plus
• Strong multi-tasking and prioritization skills
• Desire to grow within performance marketing

Benefits

• Significant opportunities for professional growth
• Knowledgeable and supportive team
• International, diverse work environment
• Ability to work with fast-growing global gaming products
• Competitive base salary + performance-based commissions

We look forward to your application!

We’re searching for a Technical Team Lead /Software Project Manager to join a Blockchain company. This is a long-term opportunity.

What We’re Looking For:

• At least 1 year in a role overseeing software projects or leading a small technical team (e.g., Technical Project Lead, Software Team Lead, Engineering Manager, or similar).
• Commercial coding experience, ideally with both server-side and client-side development, with a focus on web applications.
• Familiarity with modern project management approaches, such as iterative development, Kanban, or Scrum, and common management tools like task trackers and collaboration platforms.
• Ability to communicate effectively in English at an intermediate level or higher.
• Good understanding of how software projects progress from concept to delivery, including planning, execution, and quality assurance.
• Excellent organizational, analytical, and interpersonal skills.
• Comfortable translating business needs into technical requirements and guiding solutions to meet those needs.

What You’ll Do:

• Lead and guide the development team to deliver projects on time and within scope.
• Plan, document, and supervise software development projects, ensuring smooth execution throughout all phases.
• Define project requirements, resources, and timelines in collaboration with stakeholders.
• Monitor team performance, provide mentorship, and ensure alignment with project goals.
• Manage risks, handle unexpected changes, and ensure high-quality deliverables.
• Serve as the main point of contact for internal and external communications regarding project progress.

• Translate complex technical concepts into clear explanations for non-technical stakeholders.

   

Perks & Benefits:

• Competitive salary.
• Full coverage of travel and conference expenses.
• Opportunity to influence the development of the company’s partner ecosystem.
• Autonomy, flexibility, and work in a strong Web3-focused team.
• Fast growth and participation in international projects.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.

As an ML Engineer, you’ll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!
 

Requirements:

• Comfortable with standard ML algorithms and underlying math.
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
• AWS Bedrock experience strongly preferred
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• English level - strong Intermediate.
• Excellent communication and problem-solving skills.
   

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
• Practical experience with deep learning models.
• Experience with taxonomies or ontologies.
• Practical experience with machine learning pipelines to orchestrate complicated workflows.
• Practical experience with Spark/Dask, Great Expectations.
   

Responsibilities:

• Create ML models from scratch or improve existing models. 
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap. 
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.