11+ Social engineering Jobs in Pune | Social engineering Job openings in Pune

Key Responsibilities:

• Plan, create, and manage content across all social media platforms (Facebook, Instagram, LinkedIn, Twitter, etc.).
• Develop and execute social media strategies to increase brand awareness, engagement, and leads.
• Write compelling and engaging content for posts, captions, stories, and short-form campaigns.
• Track performance metrics, analyze trends, and provide actionable insights and reports.
• Collaborate with design, marketing, and sales teams to ensure cohesive branding.
• Stay updated with the latest trends in digital marketing and platform algorithms.
• Utilize AI tools for content creation, scheduling, performance tracking, and idea generation.

We are seeking a dynamic and detail-oriented HR Recruiter to manage our end-to-end recruitment process. The ideal candidate will have a strong understanding of talent acquisition strategies, excellent interpersonal skills, and the ability to build relationships with both candidates and hiring managers.

Key Responsibilities

• Manage the full recruitment life cycle, from job posting to onboarding.
• Partner with hiring managers to identify staffing needs and develop job descriptions.
• Source potential candidates through online channels (e.g., LinkedIn, job boards, social media).
• Screen resumes, conduct interviews, and assess candidates’ qualifications.
• Coordinate and schedule interviews between candidates and hiring teams.
• Maintain candidate databases and recruitment reports.
• Build a talent pipeline for current and future hiring needs.
• Ensure a positive candidate experience throughout the hiring process.
• Stay updated on industry trends and best recruitment practices.
• Ensure compliance with labor laws and internal policies during recruitment.

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

A leading software company is looking for Java candidates for Pune location.

Experience in Springboots, microservices and fintech domain

• Initiate outbound calls to potential customers to introduce and promote products/services.
• Conduct follow-up calls to nurture leads.
• Build rapport with potential customers. 
• Identify potential leads through effective questioning and conversation.
• Meet and exceed daily, weekly, and monthly sales targets.
• Efficiently manage call time to maximize productivity and achieve sales goals.
• Follow predefined scripts while adapting to customer responses to maintain consistency.

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Good experience in 5+ SQL and NoSQL database development and optimization. 

∙Strong hands-on experience with Amazon Redshift, MySQL, MongoDB, and Flyway. 

∙In-depth understanding of data warehousing principles and performance tuning techniques. 

∙Strong hands-on experience in building complex aggregation pipelines in NoSQL databases such as MongoDB. 

∙Proficient in Python or Scala for data processing and automation. 

∙3+ years of experience working with AWS-managed database services. 

∙3+ years of experience with Power BI or similar BI/reporting platforms. 

Roles and Responsibility:

• Prospecting, generating, qualifying, processing, and following up on leads and appointment setting for our Sales Team based out in California.
• Collaboratively work with the sales and marketing team to develop lead generation strategies to generate lead opportunities.
• Initiates and participates in new business pitches with the sales team and own follow-through with the lead prospect.
• Identifying decision makers within targeted leads to beginning the sales process.
• Familiarizing yourself with all products and services offered by Internet Soft
• Attracting new clients by innovating and overseeing the sales process for the business
• Identifying and researching IT opportunities in California ·
• Communicating with clients to understand their needs and offer solutions to their problems.
• Creating positive, long-lasting relationships with current and potential clients
• Meeting and exceeding weekly and monthly activity and revenue targets.
• Linkedin Expertise is a must.
• Lead generation expertise is a must.
• Excellent leadership skills.
• Strong sales skills.
• Advanced presentation skills.
• Strong written communication skills.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• Experience in corporate training with minimum 3.5 years of experience in Technical training
• Exposure into C#.Net, ASP.NET, MVC-5, SQL database, HTML-5, CSS-3, Javascript, AngularJS.
• Concepts on ASP.Net MVC and Web API, .Net Core, latest version of .Net core.
• Candidate should have good Presentation, verbal & written communication Skills.
• Good to have Microsoft certification on MVC and implementation knowledge on AngularJs.