Team leader at GBH Auto Mechanics Services LLP · Remote only · 1 - 3 years · ₹1L - ₹5L / yr · Profitable · Remote only · Posted 28 Nov 2023

Additional Compensation: If applicable, this will be decided on the basis of your designationTL - Job DescriptionCompany Name: *GBH Auto Mechanics Services LLP Job Profile: Team LeaderJob DescriptionWe're seeking a qualified Team Leader is responsible for developing the sales team, coordinating sales operations and implementingsales techniques that allow the business to meet and surpass its sales targets consistently. The team leader is responsible forsupervising, managing, and motivating team members on a daily basis. able to act proactively to ensure smooth team operationsand effective collaboration.Requirement & SkillsProven work experience as a team leader or supervisorExcellent communication and leadership skillsOrganizational and time-management skillsDecision-making skillsExperience: 4 - 5 yearsJob Location: Work from homeSelection process:- HR round & Manager roundQualification: Any Graduate/Post GraduateWorking days: 6 working days (Sundays off)Shifts: 10:00am -7:00pmMandatory language: EnglishLaptop: candidates are to use their own laptops.

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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.
Golang (Go)
2) Software architecture, data structures, modern design
patterns, microservice and internet protocols
3) Database management experience using relational and/or NoSql database
technologies
4) Excellent Communication Skills
Around 3 years of Experience in GoLang
Java Tech Lead (5–6 Years Experience)
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We are seeking a highly skilled Java Tech Lead with 5–6 years of hands-on experience in backend engineering, architecture design, and leading development teams.
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This role involves technical leadership, code reviews, and architectural decision-making for complex enterprise systems — with occasional exposure to analytics-driven and Python-based components.
Key Responsibilities
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- Work with AWS cloud services (EC2, S3, RDS, Lambda) for deployment, scaling, and infrastructure automation.
Required Skills & Qualifications
- 5–6 years of professional experience in backend application development using Java.
- Strong proficiency in Java frameworks: Quarkus, Spring Boot, Spring, Java EE.
- Proven experience in architecture design, system decomposition, and microservices design principles.
- Solid understanding of object-oriented design (OOD), design patterns, and SOLID principles.
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- Knowledge of Docker/Kubernetes for containerized deployments.
- Exposure to NoSQL databases (MongoDB, DynamoDB, Cassandra).
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Soft Skills
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About the Company:
We are a dynamic influencer marketing firm dedicated to crafting compelling campaigns that resonate with audiences across the globe. Our mission is to bridge the gap between brands and influencers, creating powerful connections and delivering measurable results.
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Job Description
AVP-Professional Services APAC & EMEA
Professional Services is a growing and strategically important practice at Acqueon. We believe that Professional Services is a key component of our overall service offering that enables our customers to expand how they work with us and derive additional value. Professional Services delivers custom advisory projects that deepen our strategic client relationships, support the development of new services and drive our overall company growth.
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- Timely execution-oriented professionals will be preferred
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Location
Bangalore
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Acqueon’ s conversational engagement software lets customer-centric brands orchestrate campaigns and proactively engage with consumers using voice, messaging, and email channels. Acqueon leverages a rich data platform, statistical and predictive models, and intelligent workflows to let enterprises maximize the potential of every customer conversation. Acqueon is trusted by 200 clients across industries to increase sales, improve collections and re-engage with otherwise-defecting customers.
Acqueon is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Acqueon delivers business value using Conversational Engagement, please visit http://www.acqueon.com/">www.acqueon.com
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Sociometrik is a geospatial data intelligence start-up based out of New Delhi, India - founded in 2019 with the mission of redefining data-backed executive decision making. We measure and quantify physical earth, built structures and human activity using multi-channel data sources like satellite imagery, smartphone mobility, web records and administrative data to power alternative data-based decision support systems for our clients.
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Below is our hiring process for this position. We will reach out or send a rejection notice to most candidates within 1-5 business days of applying. Sociometrik promises to value your time and professionalism in every step of the process.
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Experience:
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Position:
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