Engineering Manager

Client is looking for a SFDC Developer to join our team of bright thinkers and doers. You will be part of a highly skilled capability group, working for clients across various industry verticals, to develop high-end software products/ services, involving configuration and customization. You should have an exceptional verbal and communication qualities and be able to present and communicate technical designs and solutions to peers. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.

Your Impact:

• Interact clearly with clients and the on-shore and off-shore project teams
• Regular involvement in thought leadership Best Practices development
• Facilitate end to end project design & development while working closely with global client

Your Skills & Experience:

• 4 to 10 years of development experience in SFDC
• Excellent hands-on experience in Salesforce application development including VF, Apex Triggers, Asynchronous Apex
• Deep knowledge of Lightning framework
• Expertise in Business Requirement gathering, Analysis & conceptualizing high-level architectural framework & design
• Experience working with Sales or Service cloud, Community Cloud, Marketing Cloud
• Conceptualize end to end integration projects & knowledge of authentication mechanism
• Experience in REST & SOAP APIs, knowledge of Governor limits involved during Integration
• Working knowledge on continuous integration, working with repositories (e.g. Git)
• Should have experience to design the data flow and work with any ETL or dataloader
• Excellent experience in designing and architecting large scale applications
• Thorough understanding of Solution architecting & Estimation process
• Excellent consulting skills, oral and written communication, presentation, and analytical skills

Set Yourself Apart With:

• Salesforce Certifications
• Knowledge of Heroku, Angular.js and Salesforce Einstein, Salesforce CPQ, CloudCraze B2B
• sIncident and problem management skills
• Ability to provide necessary coaching to bring juniors up to speed on the technology
• Exceptional written skill for solution documentation creation for both technical and non-technical material
• Background in force.com platform and deployment experience in an outsourced service environment
• Articulation skills & Good team player
• Self-starter and self-learner with keen interest to grow
• Process orientation and the ability to define and setup processes
• Mentoring team members

Benefits of Working Here:

• Gender Neutral Policy
• 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)
• Generous parental leave and new parent transition program
• Flexible work arrangements
• Employee Assistance Programs to help you in wellness and well being

Career level –Senior Associate

Salary Upto 35 LPA. 

Location: Bengaluru / Noida / Gurugram , Also allows remote working from any where. 

Job Title: Generative AI Engineer

Experience: 6–9 years

Job description:

We are seeking a Generative AI Engineer with 6–9 years of experience who can independently

explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and

emerging Gen AI techniques. This role combines deep technical hands-on development with

non-technical influence and presentation skills.

You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP

and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not

just in Jupyter notebooks, but as real applications ready for production exploration.

Key Responsibilities:

·        LLM Applications & Agentic Frameworks

·        Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral,

·        Gemini, or LLaMA on AWS, Databricks, Azure or GCP.

·        Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai,or custom frameworks.

·        Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports.

·        Rapidly explore and showcase the art of the possible through functional, demonstrable POCs

·        Advanced AI Experimentation

·        Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use.

·        Create and leverage synthetic datasets to simulate edge cases and scale training.

·        Evaluate agents using custom agent evaluation frameworks (success rates, latency,reliability)

·        Evaluate emerging agent communication standards — A2A (Agent-to-Agent) and MCP (Model Context Protocol), Business Alignment & Cross-Team Collaboration

·        Translate ambiguous requirements into structured, AI-enabled solutions.

·        Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders

Good-To-Have:

·        Microsoft Copilot Studio

·        DevRev

·        Codium

·        Cursor

·        Atlassian AI

·        Databricks Mosaic AI

Qualifications:

·        6–9 years of experience in software development or AI/ML engineering

·        At least 3 years working with LLMs, GenAI applications, or agentic frameworks.

·        Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and

·        model orchestration

·        Proven track record of developing functional AI prototypes beyond notebooks.

·        Strong presentation and storytelling skills to clearly convey GenAI concepts and value.

MLOps | Exp- 10 + yrs

Working Shift Hour - Anytime in between 11 am to 11pm. ( It can start from 11am, 12am , 1pm or 2 pm)

Location- Remote ( C2C Oppurtunity)

Required Skills:

• Expertise in deploying Tensorflow and PyTorch. Experience with both computer vision and language models strongly preferred.
• The ability to select and transform features at scale for BERT-based models.
• Setting up monitoring and evaluation metrics in Sagemaker.
• Creating A/B tests for ML models in Sagemaker.
• Expertise in model deployment and orchestration.

Experience:

• Deploying transformer-based models with Tensorflow or PyTorch in production workflows.
• Resource selection, evaluation and optimization for production model deployments.
• Familiarity and demonstrated experience with the following strongly preferred:
• Convolutional neural networks
• Feedforwards Neural networks
• Diffusion Models
• Ranking Algorithms
• Approximate Nearest Neighbors - HNSW.
• Bayesian Methods
• Regression Models
• Decision Trees
• Clustering (K-Means, DBScan).

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

We are looking for an experienced Social Media Executive to assist in the planning, execution and optimization of our online marketing efforts for our d2c women fashion brand. Individual should be experienced preferably from fashion industry.

Immediate joining preferred.

Job Location: Kandivali West, Mumbai (western line candidate)

Job Type: Work From Office, Full-Time

Exp: 2-3 years

Responsibilities of Social Media Executive:

• Identify target audiences, objectives and desired outcomes of marketing campaign
• Assisting in photoshoots, product styling, mood boards, product naming and descriptions and creatives for social media
• Research and develop marketing strategy, and evaluate success strategy
• Develop content of marketing campaigns
• Manage the brand’s website and e-commerce destination, as well as spearhead monthly email newsletters
• Identify and develop relationships with key digital influencers
• Work with social media team and align strategy across relevant platforms including Facebook, Instagram, Twitter and Pinterest; identify and prioritize new and relevant channels
• Day-to-day content planning with colleagues, creation, posting and management across the channels

Qualifications:

• Degree in marketing or related field
• Experience in social media marketing, influencer marketing, content writing.
• Strong analytical, communication, time-management and creativity skills
• Good English communication and writing skills required; the ability to understand, help define, and articulate the fashion brand is essential
• Immediate joining preferred

• Python developer with Django experience
• 6-8 yrs of total experience
• Strong communication is a MUST