Merchandiser and Ecommerce Associate

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.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

📍 About the Role

We are seeking a highly motivated Demand Generation Executive to join our growing team. You will play a key role in driving lead generation activities, qualifying prospects using the BANT (Budget, Authority, Need, Timeline) framework, and supporting sales efforts through quality pipeline creation. You will work closely with both Sales and Marketing teams to generate interest, identify opportunities, and contribute to revenue growth.

🔑 Key Responsibilities

• Conduct outbound prospecting to generate and qualify leads using BANT criteria (Budget, Authority, Need, Timeline).
• Perform contact discovery and market research to identify key decision makers and target accounts.
• Engage with prospects through cold calls, emails, LinkedIn outreach, and other channels.
• Maintain and update CRM records, ensuring accurate lead status and follow-up activity.
• Schedule qualified appointments/demo calls for the sales team.
• Collaborate with Marketing to improve campaigns and lead qualification processes.
• Track, analyze, and report on lead generation activities and outcomes. 

Immediate Joiner Preferred

The job is applicable only for Mumbai-based candidates.

Digital Marketing Agency Experience preferred.

I. YOUR ROLE

Driving business objectives for the agency’s clientele through Paid marketing activities.

II. YOUR RESPONSIBILITIES

• Monitoring, Auditing and Executing Campaigns on Google display/search Ads, Facebook, and Instagram ads
• Ensuring campaign performance and identifying insights to drive incremental results.
• Collaborate with the Account Manager and creative teams for campaign planning.
• Drive positive curiosity and a hunger for learning and new ideas through the team.
• Initiate and drive case study creation that can be nominated for awards, post completion of noteworthy campaigns.
• Build trust with clients’ POCs and Digital Leads.
• Ability to represent the agency in account reviews and performance meetings
• Assisting the team in pitching for new business.
• Auditing Ad accounts of prospects and identifying opportunities for performance improvement.
• Deliver volume, quality leads , TAT & cost outcomes (in accordance with quarterly OKRs) for paid user acquisition (i.e. advertising)

III. ABOUT YOU

- Professional / Academic Requirements

• 2+ years of relevant work experience in Paid media
• A Degree in Engineering, Marketing, Advertising, Communication or another relevant field

- Technical Requirements

• Expert level command over Google Ads, Facebook/Instagram ads
• Exposure to multiple verticals like eCommerce, BFSI, Realty, Travel, etc.
• Proficient at Google Analytics, Apps-flyer, Similar web, Adobe solutions, etc.
• Master of decoding trends and analytics from data
• Proficient with the MS Office Software (PowerPoint, Excel)
• Superior communication and presentation skills
• Creative & Strategic thinking
• Up-to-date on creative and market trends

Dear Candidate,

Hope you are doing great!!

As per our telephonic discussion, I have attached JD.


Company Details : 
Company Name: i-Lanam Technologies

i-Lanam was established in the year 2020 with an insight to provide a

competitive approach towards application development to deliver the best quality applications at the cheapest of the prices. Looking at the need to have a company that can understand the ownership of the application output some quality developers came together to establish this company

 Canada Office

182 Central Ave, 3, London, Ontario N6A 1M7, CA

Ahmedabad Location
417 SHIVALIK SHILP Iscon Cross Road, 4th Floor, Ahmedabad,Gujarat 380015, IN

• Meeting with Web designers to discuss project design and layout.
• Coding the entire HTML site from end to end.
• Debugging code and front-end web applications.
• Ensuring cross-platform compatibility.
• Troubleshooting application errors.
• Conducting website performance and usability tests.
• Meeting publication deadlines.
• Providing user support.

• Bachelor's degree in computer science, computer engineering, MIS, or similar.
• At least 1 years' experience as an HTML Developer.
• In-depth knowledge of front-end coding languages including HTML, CSS, JavaScript, and XML.
• Ability to troubleshoot coding and application errors.
• Knowledge of web design and user application requirements.
• Ability to meet strict publication deadlines.
• Excellent communication and interpersonal skills.
• Strong attention to details