QA Engineer (Automation Tester)

We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.

KEY RESPONSIBILITIES

End-to-End ML Development

•     Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.

•     Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.

•     Validate model performance using appropriate statistical techniques and domain knowledge.

MLOps & Production Deployment

•     Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.

•     Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.

•     Ensure model reliability, observability, and performance in live production environments.

Language Models & LLM Applications

•     Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.

•     Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.

•     Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.

•     Support exploratory work around LLM integration and prompt engineering for internal tooling.

Domain-Driven Analytics

•     Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.

•     Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.

•     Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.

REQUIRED QUALIFICATIONS

Education

•     Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.

Experience

•     2–4 years of hands-on experience in a data science or machine learning role.

•     Demonstrable experience deploying ML models in production environments (not just prototyping).

Technical Skills

•     Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).

•     Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.

•     Hands-on experience with BERT-family models and Hugging Face Transformers library.

•     Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.

•     Solid understanding of SQL and working with large structured/unstructured datasets.

•     Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).

GOOD TO HAVE

•     Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).

•     Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.

•     Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.

•     Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).

•     Contributions to open-source ML projects or published research.

THIS ROLE IS NOT FOR YOU IF…

•     You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.

•     Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

ROLES AND RESPONSIBILITIES:

We are looking for a dynamic, tech-savvy Technical Account Manager who is passionate about emerging technology and dedicated to delivering exceptional customer experiences. As a key member of our global supply team, you will be pivotal in engaging with both prospective and existing clients, particularly with top endemic publisher accounts in the AdTech/Pharma Tech sectors, support the onboarding process, helping customers gain maximum value from our solutions.

• Account management: build and maintain strong, strategic relationships with clients, acting as a trusted technical advisor throughout the onboarding and post-implementation phases
• Onboarding & implementation: support technical onboarding for new clients, managing integrations and ensuring clients are set up for success from day one
• Ongoing client support: act as the primary technical contact for key accounts, troubleshooting issues, and proactively identifying opportunities to drive client satisfaction and retention
• Conduct live demos: present our solutions to prospective clients, emphasizing unique benefits and features, and tailor demos for varying audience levels, with a focus on endemic and top publisher accounts
• Cross-functional collaboration: identify client needs and customise demo experiences for prospective and new clients, ensuring alignment with their goals, particularly with top publisher accounts
• Feedback & reporting: gather insights from client interactions to inform product development. Regularly report on account health, demo success, and product feedback, helping share future enhancement

IDEAL CANDIDATE:

• Total experience 8+ Yrs
• 8+ years of experience as a technical account manager, publisher ops role or similar role, with experience in the AdTech, digital media, programmatic advertising space
• Strong hands-on expertise working with top SSP platforms and publisher accounts
• Strong understanding of programmatic technology, SSPs, and the AdTech ecosystem, comfortable explaining technical concepts in clear, accessible language
• Skilled in building and nurturing client relationships, with a strong commitment to costumer success and satisfaction
• Demonstrated ability to think on your feet, solve technical issues in real time, and effectively address client concerns
• Exceptional presentation skills, with the ability to engage diverse audiences and adapt content to client needs
• Team player with ability to work collaboratively with sales, customer success, and product teams
• Adaptable and able to thrive in a dynamic, fast-paced environment
• Bachelor's degree

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

EasySLR is pioneering the future of systematic literature reviews through AI and innovative technologies. Our platform, recognized by industry leaders and academic communities alike, redefines the way researchers conduct reviews, making the process faster, smarter, and more intuitive. We've been at the forefront of AI-driven research, presenting at major conferences and setting new standards in evidence synthesis. If you are a visionary leader with a passion for technology and a drive to make a significant impact, we want you to join our mission to transform the research landscape.

Responsibilities :

- Lead and mentor a team of talented engineers, fostering a culture of innovation, collaboration, and continuous learning.

- Architect and oversee the development of a scalable, high-performance platform that integrates cutting-edge AI technologies and industry best practices.

- Drive the engineering strategy, ensuring alignment with our product vision and business goals.

- Collaborate closely with cross-functional teams, including product, design, and AI experts, to deliver a world-class product experience.

- Ensure the robustness, security, and scalability of our infrastructure, leveraging your deep expertise in cloud computing and full-stack development.

- Stay ahead of emerging technologies, incorporating the latest advancements into our platform and maintaining our competitive edge.

- Cultivate a high-performing engineering team through effective hiring, coaching, and professional development opportunities.

Requirements :

- 4+ years of experience in software engineering, with a proven track record of leading high-performing engineering teams.

- Expertise in full-stack development, with hands-on experience in Python, Node.js, and frameworks like Next.js.

- Extensive experience with cloud platforms, particularly AWS, and familiarity with tools like AWS Lambda, AWS CDK, and containerization technologies.

- Strong background in designing and scaling complex, distributed systems with a focus on performance and security.

- Experience in AI/ML-driven product development is a significant plus.

- Exceptional problem-solving skills, with a strategic mindset and the ability to make data-driven decisions.

- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

What We Offer :

- The opportunity to lead a cutting-edge platform at the intersection of AI and systematic literature reviews.

- Competitive compensation and a clear path to executive leadership.

- A vibrant, inclusive work culture that values diversity, innovation, and work-life balance.

- The chance to make a meaningful impact in a fast-growing, AI-first SaaS company shaping the future of research.

Ready to lead the engineering efforts that will drive the next generation of AI-driven systematic reviews? Join us at EasySLR and be part of a team that's revolutionizing the research process. Apply now and embark on an exciting journey at the forefront of technology and innovation

● Pan India internal recruitment.

● Responsible for all interview processes.

● Manage recruitment cycle.

● Conduct all interviews virtual/Face-to-face and coordinate with the sales & operations team.

● Source candidates using a variety of search methods to build a robust candidate pipeline

● Screen candidates by reviewing resumes and job applications, and performing phone screenings.

● Manage onboarding and new hire process.

● Stay abreast of recruiting trends and best practices.

● Manage the overall interview, selection, and closing process to ensure all screening, hiring, and selection are done according to employment laws and regulations

● Coordinating with the Hiring Manager. 

• You will be having 3+ years of experience of writing optimized Code in Javascript/Typescript and working with Advanced NodeJs frameworks targeting Latest NodeJs version.
• Design, build, and maintain efficient, reusable, and reliable codes by setting expectations and features priorities throughout the development life cycle.
• Understanding of basic RDBMS using relational databases like PostgresSQL, MySQL, or MSSQL
• API development (Rest/GraphQL)
• You will participate in regular design sessions, code reviews and agile ceremonies.
• You will work closely with the Product Owner and scrum team to help deliver high quality features inside of agreed timescales
• You will Provide technical mentorship and upskilling to scrum team members and across functional boundaries where appropriate
• You will Identify areas for modification or refactoring inside our code-base and champion their improvement.
• You will lead by example, contributing to a culture of high quality, personal ownership and customer focused execution

Job Description

As we continue to expand our Technology footprint, we’re looking to find ambitious, talented leaders who enjoy everything tech and want to work at an exciting confluence of tech and digital transformation. 

In the profile, the IT Project Manager will be responsible for planning of technology projects, managing our team of IT professionals, interacting with clients and architecting solutions to meet their requirements and the execution of all technology-related tasks and initiatives. 

The successful candidate will also be the liaison with our teams in Hyderabad and US/Canada in order to ensure the successful delivery of projects. 

Responsibilities include building project plans, allocating tasks, and setting milestones, and overseeing project execution.

1. Create & manage project plans
2. Define project schedules, allocate resources and monitor progress
3. Align project objectives with company goals, and make sure the project team is clear on objectives
4. Help project team with the design and development of tasks
5. Lead process of issue identification and resolution
6. Monitor and manage scope alongwith documentation Manage all documentation
7. Foster partnership with customers/stakeholders/sponsors

Key requirements 

• B.Tech in Computer Applications, IT, MCA or related field is a must 
• At least 3 years of supervisory experience in managing teams  
• Clear thought process, planning and forecasting skills will be required 
• Excellent Verbal and written communication skills 
• Prior experience of working with a digital agency/IT Services firm is a +  
• Experience of US/North America projects in addition to India is a +

What you need to have: